👨‍💻 MY PROJECTS

A collection of selected projects to demonstrate skill sets, knowledge, and what I find interesting

Get the Data

• SQL, querry a database to solve a mystery,
• Web Scrapping, collect educational data using beautifullsoup and selenium
  

Data Analysis

• Exploratory Data Analysis, explore the house price dataset (79 features) using pandas and Matplolib
• Data Preparation & Visualisation, create an app with impactfull visualisation using Plotly and Dash:
  • COVID19 dashboard project
  • Sale Analysis
    

Machine Learning

• Apply Deep Learning on Fish, a web application that will recognize fish in the Reunion Island lagoon. App build with Fast ai and Streamlit
  
  

Back End Dev

• a REST API build to manage user authentication with Django. SOme interesting parts:
  • Build an API using django and dj_rest_framework
  • PythonOOP, write clean object oriented code according to some key principles
  • Test-driven development, a set of unit tests used for the API development
    
    
• Notion Low code Tool, an abstraction of Notion API where you could interact with Notion.so with just a few lines of code

📚 BOOK

• Python for Data Analysis by Wes McKinney, used to solve a wide range of data analysis problems
• Hands on machine learning with scikit learn & Tensor flow by Aurélien Géron, used to understand the methodology and concepts of machine learning
• An Introduction to statistical learning by Gareth James, Daniela Witten and co, used to get a deeper understanding of the mathematics behind machine learning models
• Clean code by Robert C. Martin, used to write better code
  
  

👩‍🏫 MOOC

• Maths
  • Introduction to Linear Algebra and Calculus by 3b1b
  • Multivariable calculus by Khan Academy
  • Probability and Statistics by Khan Academy
• CS50, Harvard's introductory course on computer science
• WEB50, courses given by Harvard University to discover web development

In progress 🚧

• LeetCode problems to prepare for interviews